A adaptive handover decision algorithm based on the estimating mobility from signal strength measurements

Abstract

A prevalent underlying theme is the techniques used to control the handover of users as they move between cells, at greater speeds, and with stricter requirements on both the QoS delivered to the user and operational costs associated with a connection. The decision to initiate a handover depends on a number of control variables. Simple estimation of vehicle velocity is taken into account as one of the criteria for making handover decisions. This paper attempts to illustrate the effect on triggering time of handover execution and suggest some possible approaches to enhance the handover performances. In particular, the term Handover Mobility Factor is introduced for producing a guide for handover decision according to estimated movement. The simulations are performed in the vehicular testing environment. The results have been compared to that of the traditional fixed threshold based algorithms. It has been observed that the proposed algorithm is able to avoid the ping-pong handover as well as to reduce handover block thereby enhancing the system performances.

title = "A adaptive handover decision algorithm based on the estimating mobility from signal strength measurements",

abstract = "A prevalent underlying theme is the techniques used to control the handover of users as they move between cells, at greater speeds, and with stricter requirements on both the QoS delivered to the user and operational costs associated with a connection. The decision to initiate a handover depends on a number of control variables. Simple estimation of vehicle velocity is taken into account as one of the criteria for making handover decisions. This paper attempts to illustrate the effect on triggering time of handover execution and suggest some possible approaches to enhance the handover performances. In particular, the term Handover Mobility Factor is introduced for producing a guide for handover decision according to estimated movement. The simulations are performed in the vehicular testing environment. The results have been compared to that of the traditional fixed threshold based algorithms. It has been observed that the proposed algorithm is able to avoid the ping-pong handover as well as to reduce handover block thereby enhancing the system performances.",

T1 - A adaptive handover decision algorithm based on the estimating mobility from signal strength measurements

AU - Kim, Sung Kyung

AU - Kang, Chung Gu

AU - Kim, Kyung Soo

PY - 2004

Y1 - 2004

N2 - A prevalent underlying theme is the techniques used to control the handover of users as they move between cells, at greater speeds, and with stricter requirements on both the QoS delivered to the user and operational costs associated with a connection. The decision to initiate a handover depends on a number of control variables. Simple estimation of vehicle velocity is taken into account as one of the criteria for making handover decisions. This paper attempts to illustrate the effect on triggering time of handover execution and suggest some possible approaches to enhance the handover performances. In particular, the term Handover Mobility Factor is introduced for producing a guide for handover decision according to estimated movement. The simulations are performed in the vehicular testing environment. The results have been compared to that of the traditional fixed threshold based algorithms. It has been observed that the proposed algorithm is able to avoid the ping-pong handover as well as to reduce handover block thereby enhancing the system performances.

AB - A prevalent underlying theme is the techniques used to control the handover of users as they move between cells, at greater speeds, and with stricter requirements on both the QoS delivered to the user and operational costs associated with a connection. The decision to initiate a handover depends on a number of control variables. Simple estimation of vehicle velocity is taken into account as one of the criteria for making handover decisions. This paper attempts to illustrate the effect on triggering time of handover execution and suggest some possible approaches to enhance the handover performances. In particular, the term Handover Mobility Factor is introduced for producing a guide for handover decision according to estimated movement. The simulations are performed in the vehicular testing environment. The results have been compared to that of the traditional fixed threshold based algorithms. It has been observed that the proposed algorithm is able to avoid the ping-pong handover as well as to reduce handover block thereby enhancing the system performances.